Michelle Lockley

3.9k citations
64 papers · 1.7k · h-index 23

Impact in

    • Ovarian cancer diagnosis and treatment
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • CAR-T cell therapy research 6
    • RNA Interference and Gene Delivery 5
    • CRISPR and Genetic Engineering 5

Michelle Lockley

61 papers receiving 1.7k citations

Peers

Michelle Lockley
Comparison fields: 5 of 94
  • Reproductive Medicine 395
  • Oncology 579
  • Immunology 346
  • Genetics 337
  • Cancer Research 155
Replace Abdeljabar El Andaloussi with:
Abdeljabar El Andaloussi United States
Annikki Liakka Finland
Tateki Tsutsui Japan
Natini Jinawath Thailand
Julie A. DeLoia United States
C. Allison Stewart United States
Kezhen Li China
Koichi Yoneyama Japan
Bertil Casslén Sweden
Nadeen Zerafa Australia
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Citations per field
00.5×4.4×
Abdeljabar El Andaloussi · 1×
Citations per year

Countries citing papers authored by Michelle Lockley

Since Specialization
Citations

This map shows the geographic impact of Michelle Lockley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michelle Lockley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Lockley more than expected).

Fields of papers citing papers by Michelle Lockley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle Lockley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michelle Lockley. The network helps show where Michelle Lockley may publish in the future.

Co-authors

The 25 scholars most cited alongside Michelle Lockley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michelle Lockley Line = papers co-authored together Michelle Lockley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2016177
3 2016155
4 2016111
5 202366
6 200764
7 197859
8 201251
9 200649
10 200446
11 201942
12 201839
13 201239
14 201839
15 201235
16 202134
17 202230
18 201430
19 198628
20 201626

About Michelle Lockley

Michelle Lockley is a scholar working on Oncology, Molecular Biology, Reproductive Medicine, Genetics and Surgery, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (15 papers), Testicular diseases and treatments (13 papers), Virus-based gene therapy research (11 papers), CAR-T cell therapy research (6 papers), RNA Interference and Gene Delivery (5 papers), Cancer Genomics and Diagnostics (5 papers), CRISPR and Genetic Engineering (5 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Reproductive Medicine (395 citations), Oncology (579 citations), Immunology (346 citations), Genetics (337 citations) and Cancer Research (155 citations). Michelle Lockley has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Iain A. McNeish, Frances R. Balkwill, Darren Ennis, Steffen Böhm, Thomas Dowe, Heidi H. Swanson, Nicholas R. Lemoine, Naveena Singh, Asma Faruqi and Oliver M.T. Pearce. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, International Journal of Gynecological Cancer, Clinical Cancer Research and Journal of Antimicrobial Chemotherapy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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